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Lecture 2

# SOCY211 Lecture 2: W2 Populations, samples and units

Department
Social Sci, Edu and Soc Work - Sociology
Course Code
SOCY 211
Professor
William Nelson
Lecture
2

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Monday, January 18, y
Introduction to Statistics
Populations, samples and units
-What is statistics?
Statistics is the science of learning from data and of measuring, controlling, and
communicating uncertainty; and thereby provides the navigation essential from
controlling the course of scientific and societal advances.
-Module 1 key ideas
Sampling unit: a single element that could be sampled.
Statistical population: the group of all sampling units of interest.
Sample: a random subset of the statistical population.
Observation unit: a random subset of the statistical population.
Measurement variable: the data collected. ex. height
Measurement unit: scale for the data. ex. cm
-What is the average height of people in a house? Example
Sampling unit: house
Statistical population: all house (ones that we are interested in)
Sample: randomly selected houses
Observation unit: a person in the house
Measurement variable: height
Measurement unit: cm
-Key Ideas
Descriptive statistics: an attribute of the data in your sample.
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Monday, January 18, y
Inferential statistics process (philosophy) used to derive conclusions about
statistical population based on your sample.
-Case study Is a Mediterranean Diet better?
605 heart attack survivors in a coronary care unit
randomly assigned to the Mediterranean or American health association diet
visits by a dietician at 2 months, then once a year
Sampling unit: a person
Statistical population: all people in clinic
Sample: 302 MD, 303 AHA
Observation unit: a person
Measurement variable: disease state after 4 years
Measurement unit: categorical (none)
-Case study: Running yourself to death
random sample of 19,329 while men and women between 20and 93 years
drawn from Copenhagen Population Register
excluded people with other diseases
5048 men and women (1098 healthy joggers and 3950 health nonjoggers)
Sampling unit: a person
Statistical population: all people on list with no disease
Sample: 1098 healthy joggers and 3950 health nonjoggers
Observation unit: a person
Measurement variable: disease state
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